Inventory optimisation with an interval type-2 fuzzy model.
The planning of resources within a supply chain can prove to be a deciding factor in the success or failure of an operation. This research continues the authors' previous work using an extended Interval Type-2 Fuzzy Logic supply chain model, with an Evolutionary Algorithm to search for good resource plans. A set of enhanced experiments is conducted to validate our novel approach with optimal configurations, and determine an appropriate Evolutionary Algorithm set up for the given problem.
Citation : Miller, S., Gongora, M. and John, R. (2010) Inventory optimisation with an interval type-2 fuzzy model. Proceedings of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010) 18-23 July, Barcelona, Article no. 5584774
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)